Data Scientist, Marketing

The Wealthfront Data Science team utilizes our rich financial and behavioral data to influence Marketing, Product and information security decisions. The team draws from backgrounds in Computer Science, Natural Sciences, Statistics, Operations Research, Economics and Finance.

The Data Scientist in this role will be primarily embedded within Wealthfront’s Marketing team. The Marketing team aims to acquire new clients and increase awareness of Wealthfront's brand and products among potential customers. The team addresses these goals by designing and executing targeted advertising campaigns for Wealthfront products.

The potential set of projects for this role includes (but is not limited to) campaign performance analysis, paths to conversion, incrementality estimation, media mix modeling, client segmentation, AB Experiment design and client revenue modeling.

A key desired trait for this role is an advanced ability to reduce business problems to mathematical language and communicate results to the broader team. An ideal candidate will also act as a mentor to junior team members and demonstrate an ability to explain technical concepts in a simple language.

Responsibilities

• Provide hands-on technical leadership to a team of data scientists working in the Marketing area, translating business problems into Data Science tasks.
• Employ and exemplify rigor in mathematical analyses and sound design principles in software development.
• Collaborate with the Marketing team to define quarterly and yearly initiatives.
• Turn initiatives into projects with clear rationale, candidate approaches and milestones.
• Execute planned projects through hands-on work and delegation. This includes tracking priority and progress of projects in weekly meetings.
• Articulate technical information, including assumptions, methodologies, and outcomes to specialists across disciplines. Translate hunches to hypotheses and numbers into recommendations.
• Absorb and articulate the Marketing strategy and project rationales to Data Scientists.

Requirements

• A Masters or PhD degree in Computer Science, Statistics, Operations Research or Natural Sciences, with 4-8 years of prior experience as a Data Scientist.
• Proficiency in Python and SQL
• A strong foundation in practical Statistics including the use of causal inference.
• Strong mathematical and software engineering skills.
• Fluency in long and short form oral and written communication.
• Ability to sharpen or reframe project requirements through effective collaboration.
• Strong desire and ability to mentor junior Data Scientists by exemplifying math, engineering and technical communication skills.
• Experience in a Marketing facing role preferred, but not required.